AI Security Engineer (System Security)

📋 Description

• Review AI systems and LLM deployments (local and cloud).
• Assess guardrails: input/output filtering, prompt injection, rate limiting, authentication.
• Advise on secure-by-design AI architecture; review OWASP, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001.
• Prioritize hardening for self-hosted and cloud LLM infrastructure.
• Evaluate AI supply chain, SBOMs, dependencies.
• Define standards and best-practice guidance for secure AI.

🎯 Requirements

• Certifications or equivalent experience in Cyber Security or IT.
• Infrastructure and security engineering: Linux, networking, cloud, IAM, container security.
• Experience with self-hosted and cloud LLM platforms (Azure Foundry, Bedrock, VertexAI).
• Ability to review AI systems against best practices and advise on hardening/remediation.
• Knowledge of AI security frameworks: OWASP Top 10 for LLM/Agentic Apps, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, EU AI Act.
• IaC and CI/CD experience to automate controls.

🎁 Benefits

• Collaboration across teams.
• Ownership, curiosity, and proactive approach.
• Continuous learning and growth opportunities.
• Practical impact and shaping Playtech's AI future.